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Business Process

Sales & e-Commerce software

A sales software improves the productivity of sales team. It streamlines various activities of the sales process and enables sales representatives to focus on what matters the most, which is to generate revenue and meet the organizational goals. Sales software also empowers sales reps and managers to make informed decisions. A typical sales process includes activities like Sales Proposal and Tender Management, Pipeline and lead management, contract management, training and development, Sales Force Automation, Forecasting and Analytics, performance and incentive management, etc.

There is a software to automate every activity of the sales process. An excellent sales software can drastically improve sales performance and customer relationship. With the help of sales software, the lead conversion is reduced and customer retention ratio increased.  Moreover, the morale of sales team also goes upward as the sales software helps the team to act in a professional and time bound manner.

E-commerce software is the backbone of any e-commerce business, which eliminates the waste from the sales and delivery process of an e-commerce website. The success of any e-commerce platform depends on several factors such as order and fulfillment management, subscription management, product reviews and channel, vendors and partners management. Each of these activities can be optimized and automated by using a particular e-commerce software. Automating the order fulfillment and integrating it with vendors and channel partners, plays a critical role in creating a differentiation in the crowded e-commerce market. Thus, e-commerce software has become a lifeline for businesses which sell products online.

It is important to integrate your marketing, CRM and sales & e-commerce software to eliminate the redundant tasks. Also, an interdepartmental coordination is necessary to provide a seamless experience to end customers. Any conflict in the software used to process different activities may result in inefficiencies and errors. The companies should also note that one data shouldn’t be entered into the system more than once. Else, a human mistake at one point may result in the discrepancies in the end results.